no code implementations • 28 Mar 2024 • Junjie Wen, Jinqiang Cui, Benyun Zhao, Bingxin Han, Xuchen Liu, Zhi Gao, Ben M. Chen
Furthermore, to ensure balanced training for both tasks, we present a multi-stage training strategy aimed at consistently enhancing their performance.
1 code implementation • 27 Feb 2024 • Bingxi Liu, Yiqun Wang, Huaqi Tao, Tingjun Huang, Fulin Tang, Yihong Wu, Jinqiang Cui, Hong Zhang
Visual Place Recognition (VPR) is crucial in computer vision, aiming to retrieve database images similar to a query image from an extensive collection of known images.
no code implementations • 1 Apr 2023 • Bingxi Liu, Yujie Fu, Feng Lu, Jinqiang Cui, Yihong Wu, Hong Zhang
Then we used this model to process existing large-scale VPR datasets to generate the VPR-Night datasets and demonstrated how to combine them with two popular VPR pipelines.
no code implementations • 23 Feb 2023 • Huaqi Tao, Bingxi Liu, Jinqiang Cui, Hong Zhang
And the BAM learns the boundary features from the dilated crack label.
1 code implementation • 16 Feb 2023 • Junjie Wen, Jinqiang Cui, Zhenjun Zhao, Ruixin Yan, Zhi Gao, Lihua Dou, Ben M. Chen
Although learning-based UIE methods have made remarkable achievements in recent years, it's still challenging for them to consistently deal with various underwater conditions, which could be caused by: 1) the use of the simplified atmospheric image formation model in UIE may result in severe errors; 2) the network trained solely with synthetic images might have difficulty in generalizing well to real underwater images.
no code implementations • 19 Sep 2022 • Yaohua Liu, Wei Liang, Jinqiang Cui
This paper presents a lightweight, efficient calibration neural network model for denoising low-cost microelectromechanical system (MEMS) gyroscope and estimating the attitude of a robot in real-time.